Recommendation problems have been extensively studied in many areas, e.g. product recommendation in E-commerce sites and location recommendation in location-based social sites. With the development of location-based services (LBS), location-aware recommendation systems have been an important direction of recommendation systems....
Massive amounts of geo-textual data that contain both geospatial and textual content are being generated at an unprecedented scale from social media websites. Example user generated geo-textual content includes geo-tagged micro-blogs, photos with both tags and geo-locations in social photo sharing websites, as well as...
A heterogeneous information network (HIN) is a graph model in which objects and edges are annotated with types. Large and complex databases, such as YAGO and DBLP, can be modeled as HINs. A fundamental problem in HINs is the computation of closeness, or relevance, between...
Crowdsourcing is a new computing paradigm where humans are enrolled actively to participate into the procedure of computing, especially for the tasks that are intrinsically easier for human than for computers. Not surprisingly, with the development of mobile Internet, the magic power of crowdsourcing is...
Visiting and faculty/postdoc positions on Big Data, Machine Learning, or Fintech Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS) is locating in Shenzhen (https://en.wikipedia.org/wiki/Shenzhen), a modern and fast-developing city in southern China. SIAT is a research institute in a multidisciplinary environment, consisting of...